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tklohj
/
70b2_merged_windyLLM

Text Classification
Transformers
Safetensors
bert
mergekit
Merge
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use tklohj/70b2_merged_windyLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tklohj/70b2_merged_windyLLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tklohj/70b2_merged_windyLLM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tklohj/70b2_merged_windyLLM")
    model = AutoModelForSequenceClassification.from_pretrained("tklohj/70b2_merged_windyLLM")
  • Notebooks
  • Google Colab
  • Kaggle
70b2_merged_windyLLM
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  • 1 contributor
History: 9 commits
tklohj's picture
tklohj
Upload fine-tuned model
e039685 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    946 Bytes
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  • config.json
    678 Bytes
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  • mergekit_config.yml
    348 Bytes
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  • model.safetensors
    438 MB
    xet
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  • model.safetensors.index.json
    56.7 kB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.19 kB
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  • vocab.txt
    232 kB
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